Staff Software Engineer (DevOps)

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar. 

• Kaseya's SaaS Backup products protect M365, Google Workspace, and Salesforce data for hundreds of thousands of businesses globally.
• We are building the next generation of our backup storage platform — a unified, cloud agnostic system built to operate at massive scale across trillions of objects and petabytes of data.
• As a Staff Engineer, you will own one or more platform services end to end: design, implementation, testing, and production readiness. You work with high autonomy on well-scoped problems and are the go-to technical owner for your domain.

• →Own the full lifecycle of a platform service — from design through production deployment and on call support
• →Build reliable, well tested backend services in Go with a strong focus on correctness and operational simplicity
• →Design and implement integrations with SaaS APIs (M365, Google Workspace, Salesforce) handling rate limits, delta sync checkpointing, and failure recovery
• →Collaborate closely with principal and senior engineers on cross service interfaces and data models
• →Write high quality code that sets the standard for the engineers around you
• →Participate in design reviews and contribute to architectural decisions within your domain

• 8–12 years of DevOps / SRE experience, with at least 3 years managing large-scale infrastructure
• Kubernetes — cluster operations, resource management, custom controllers, multi-tenant workload isolation
• Infrastructure as Code — Terraform or Pulumi at production scale; versioned, modular, reusable
• CI/CD pipeline ownership — designing and maintaining pipelines (GitHub Actions, Jenkins, ArgoCD or equivalent)
• Observability stack — metrics, logs, and traces in production (Prometheus, Grafana, Datadog or equivalent); defining SLOs/SLAs, not just dashboards
• Incident management at scale — structured on-call, alert triage, runbooks, post-mortems; experience reducing alert noise (1K+ alerts/month environment)
• Networking fundamentals — DNS, load balancing, firewalls, VPC/overlay networks in hybrid environments
• Security & compliance mindset — secrets management (Vault), RBAC, image scanning, audit logging; critical for a backup product handling customer data
• Scripting proficiency — Go or Python for automation; shell scripting for ops tooling
• Linux systems depth — performance tuning, kernel parameters, storage I/O, process management at scale

• OpenStack operations — managing Nova, Swift, Neutron, Cinder at scale
• Multi-cloud abstraction — managing workloads across AWS, GCP, Azure and private cloud with consistent tooling
• Large-scale infrastructure (5K+ nodes) — capacity planning, hardware lifecycle, rack-level failure domains
• Cost optimization / FinOps — cloud spend analysis, rightsizing, storage tiering strategies
• Chaos engineering — fault injection, game days, resilience testing (Chaos Monkey, Litmus)
• Bare metal provisioning — PXE boot, IPMI, automated OS provisioning at scale (Ironic, MaaS)
• Backup/DR domain awareness — understanding RPO/RTO, storage replication, data protection pipelines
• Go proficiency — reading and debugging Go services, contributing to internal tooling